Could I get solution for this?

Please see attachment

Thanks

\f\fLet X1 and X2 be independent UH], 1] random variables. Let Y = X1 X2. The joint probability densityr function of X1 and X2 is fxl,x2[31:32:|=1 D':II{1; 01:11:24: 1. Using the cumulative distribution function technique, the cumulative distribution function of Y is Frfy} = PW- *: 11} = Xzy] owl's-1 yld-Tsd-Tl -1y{ = {11;};11111I2dml 05y\" ff+y+lf2 1{y-: = {y2f2+y+1,!2 gycl. Differentiating with respect to 3; yields the probability deceit)r function y+1 1<:y fy gig- x1 and x2 be independent uh random variables. let y="X1" x2. the joint probability densityr function of is fxl d using cumulative distribution technique frfy pw- xzy owl yld-tsd-tl ff gycl. differentiating with respect to yields deceit>